Effects of the pore shape polydispersity on the percolation threshold and diffusivity of porous composites: Theoretical and numerical studies

被引:19
作者
Li, Mingqi [1 ]
Chen, Huisu [1 ]
Lin, Jianjun [2 ]
Zhang, Rongling [3 ]
Liu, Lin [4 ]
机构
[1] Southeast Univ, Sch Mat Sci & Engn, Jiangsu Key Lab Construct Mat, Nanjing 211189, Peoples R China
[2] Yanshan Univ, Sch Civil Engn & Mech, Key Lab Green Construct & Intelligent Maintenance, Qinhuangdao 066009, Hebei, Peoples R China
[3] Lanzhou Jiaotong Univ, Natl & Prov Joint Engn Lab Rd & Bridge Disaster P, Lanzhou 730070, Peoples R China
[4] Hohai Univ, Coll Civil & Transportat Engn, Nanjing 210098, Peoples R China
基金
中国国家自然科学基金;
关键词
Transport properties; Continuum percolation; Average excluded area; Finite difference method; Superoval pores; CONTINUUM PERCOLATION; EXCLUDED VOLUMES; SYSTEMS; MEDIA; PERFORMANCES; CONDUCTIVITY; DURABILITY; INTERPHASE; TRANSPORT; PHYSICS;
D O I
10.1016/j.powtec.2021.03.055
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Understanding the effects of the pore shape polydispersity on the percolation and diffusivity of the porous network has a great impact on the assessment and optimization of the composites' durability. In this work, a comprehensive framework is developed to study the effects of the pores' shape polydispersity on composites' diffusivity. In the present framework, the quantitative relationship between pores' shape polydispersity and percolation threshold of porous networks are established by an average excluded area formula (AEAF). Combining AEAF with the generalized effective medium theory (GEMT), the diffusivity of porous composites comprising polydisperse-shaped pores are predicted. To obtain the excluded area of polydisperse-shaped superoval particles, a new algorithm is proposed to detect whether the inter-superoval contact or not. Furthermore, a finite difference method (FDM) is employed to numerically calculate the diffusivity of the composites. Finally, the reliability of GEMT-AEAF theoretical framework is validated by comparing with numerical results from FDM. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页码:382 / 393
页数:12
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